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Fire Technology|February 11, 2017
Full-Scale Experimental Investigation to Quantify Building Component Ignition Vulnerability from Mulch Beds Attacked by Firebrand ShowersSamuel L Manzello, Sayaka Suzuki, Daisaku NiiFire Technology|August 25, 2021
Generating Synthetic Sensor Data to Facilitate Machine Learning Paradigm for Prediction of Building Fire HazardWai Cheong Tam, Eugene Yujun Fu, Richard Peacock, et al.Fire Technology|August 1, 2022
Discovering Graphical Heuristics on Fire-Induced Spalling of Concrete Through Explainable Artificial IntelligenceArash Teymori Gharah Tapeh, M Z NaserFire Technology|August 23, 2016
Quantification of Optical and Physical Properties of Combustion-Generated Carbonaceous Aerosols (2.5)Using Analytical and Microscopic TechniquesInoka Eranda Perera, Charles D LittonFire Technology|January 11, 1982
Modeling emergency evacuation from group homesG N Berlin, A Dutt, S M GuptaFire Technology|April 8, 1992
The short-term effects of a fire safety education program for the elderlyB L Walker, K Beck, A L Walker, et al.Fire Technology|May 25, 2010
Recent Advances in Cigarette Ignition Propensity Research and DevelopmentHillel R Alpert, Richard J O'Connor, Ron Spalletta, et al.Fire Technology|December 11, 2025
An Approach for Flux and Thickness Scaling of Cone Calorimeter Data for Predicting the Pyrolysis of MaterialsJason Floyd, Jonathan HodgesFire Technology|December 11, 2025
A Systematic Review of Building Fire Safety Practices in the UK: Approaches, Challenges and RecommendationsJamiu A Dauda, Muhammad A Yamusa, Adekunle S Oyegoke, et al.Fire Technology|August 25, 2020
Experimental study on vulnerabilities of Japanese-style tile roof assemblies to firebrand exposuresSayaka Suzuki, Samuel L ManzelloPageof 5